public bool RunPrediction()
{
try
{
bool retValue = false;
if (File.Exists(Settings.Default.NN_ModelPath))
{
TinfoBox.DisplayTextChanged?.Invoke(runPredictText);
string results = predict.RunPrediction(Settings.Default.MiddlePointDistanceThreshold, Settings.Default.OuterSelectionThreshold, Settings.Default.DecimalPointProbabilityRounding,
Settings.Default.RegionProposalsMultiplicity, Settings.Default.SpatialDistanceOfCoordinatePointsThreshold, Settings.Default.NumberOfResultsPerElement,
Settings.Default.UseGpuAcceleration);
TinfoBox.Close();
isFirstLoad = false;
if (!string.IsNullOrEmpty(results))
{
Predictions = JsonConvert.DeserializeObject <List <Prediction> >(results);
retValue = true;
}
}
if (!retValue)
{
TinfoBox.DisplayTextChanged?.Invoke("Failed to run object prediction successfully!");
}
return(retValue);
}
catch (Exception e)
{
return(HandleException(e));
}
}
public void RunSelectiveSearch()
{
Predict predict;
PythonExecutor python = new PythonExecutor(@"C:\Users\kutiatore\AppData\Local\Programs\Python\Python35\python.exe");
python.AddStandartOutputErrorFilters("Using TensorFlow backend.");
python.AddStandartOutputErrorFilters("CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected");
PipeClient client = new PipeClient();
predict = new Predict(client);
try
{
python.RunScript("main.py");
client.Connect("openstsm");
predict = new Predict(client);
bool run = predict.LoadModel(@"E:\\Storage\\Python\\OpenSTSM\\ML\\models\\model.model");
run = predict.ImageDimessionCorrections("E:\\Libraries\\Desktop\\Visa Docs\\test_selective_1.png");
run = predict.RunSelectiveSearch(80, 1.0f);
string results = predict.RunPrediction(5, 3, 5, 1, 8, 2, true);
client.Close();
python.Close();
}
catch (System.Exception e)
{
System.Diagnostics.Debug.WriteLine("---------------------");
System.Diagnostics.Debug.WriteLine(e.StackTrace);
System.Diagnostics.Debug.WriteLine("---------------------");
if (client.isConnected())
{
client.Close();
}
python.Close();
}
}